The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 31, 2026

Filed:

Nov. 29, 2023
Applicant:

Dell Products L.p., Round Rock, TX (US);

Inventors:

Zijia Wang, Weifang, CN;

Zhisong Liu, Shenzhen, CN;

Jiacheng Ni, Shanghai, CN;

Zhen Jia, Shanghai, CN;

Assignee:

Dell Products L.P., Round Rock, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/70 (2022.01); G06V 10/74 (2022.01); G06V 10/75 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/751 (2022.01); G06V 10/761 (2022.01); G06V 10/87 (2022.01);
Abstract

Embodiments of the present disclosure relate to a method, a device, and a computer program product for determining a node of a decision tree. The method includes determining multiple features of multiple modals corresponding to input information. The method further includes generating a multi-modal feature representation by combining the multiple features of the multiple modals. The method further includes determining a target path in a decision tree that is associated with the multi-modal feature representation, the decision tree comprising multiple nodes. The method further includes determining, in the target path based on the multi-modal feature representation, a target node associated with the input information and used to indicate a question or an answer. This method enables the fusion of feature representations corresponding to input information of different modals to determine a multi-modal feature representation. In this way, it is possible to determine richer and more accurate user intentions.


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